Red deer and wild boar are two major game species whose populations are managed and live in areas impacted by human activities. Measuring and understanding the impact of landscape features on individual movements and spatial patterns of genetic variability in these species is thus of importance for managers. A large number of individuals sampled across Wallonia (Belgium) for both species have been genotyped using microsatellite markers (respectively > 1700 and > 1200 genotyped individuals) and some individuals have also been followed using a capture-mark-recapture (CMR) protocol. The combined data set represents an unprecedented opportunity to study and compare the environmental factors impacting the interconnectivity of these large mammals. The present study describes and uses a landscape genetic workflow to compare spatial patterns of genetic variability and the impact of environmental factors on genetic differentiation. For the latter analyses, we investigate the correlation between genetic and environmental distances (pairwise approach) and also between local genetic dissimilarity and environmental conditions (point approach). Preliminary analyses of CMR data confirm that motorways act as significant barriers to dispersal. However, analyses performed with the pairwise approach do not highlight any evidence of an impact of motorways on genetic differentiation, which is presumably due to their recent establishment. Complementary analyses performed with the point approach reveal that low altitude tends to be associated with higher genetic dissimilarity. From a methodological point of view, the present workflow illustrates the complementary application of both pairwise and point approaches, as well as univariate and multivariate analyses.

Red deer have been subjected to anthropogenic interference for many centuries. Most populations are managed according to hunting schedules, some have been kept long-term in enclosures and other populations have been restocked with foreign deer. The red deer in the Brittany region of north-western France only occupy the largest forests in the region, reaching quite high densities in restricted areas. Here, we aimed to assess the extent of the genetic variability of the populations in four forest fragments and investigate their population genetic structure. We show that, despite relatively large expected heterozygosity values, these geographically isolated populations are genetically impoverished relative to individuals from large continuous forests in other parts of Western Europe. We provide evidence for population genetic structure with large genetic differentiation between geographically close populations, suggesting the absence of effective exchange between the forests. Using samples from the most likely source population, we show that at least two populations were non-indigenous. In order to limit further loss of genetic diversity, it should be a management objective to reduce isolation of the different forests, rather than further increase it by fences and hunting practices that could limit free movement of red deer.